Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | AES Europe Spring 2022 - 152nd Audio Engineering Society Convention 2022 |
| Herausgeber (Verlag) | Audio Engineering Society |
| Seiten | 86-92 |
| Seitenumfang | 7 |
| ISBN (elektronisch) | 9781713855415 |
| Publikationsstatus | Veröffentlicht - 2022 |
| Veranstaltung | AES Europe Spring 2022 - 152nd Audio Engineering Society Convention 2022 - The Hague, Virtual, Niederlande Dauer: 16 Mai 2022 → 19 Mai 2022 |
Publikationsreihe
| Name | AES Europe Spring 2022 - 152nd Audio Engineering Society Convention 2022 |
|---|
Abstract
The frequency-domain adaptive Kalman filter (FDAKF) is a popular choice for multichannel acoustic echo cancellation (AEC) due to its good initial convergence and robustness to double-talk. However, without additional measures its reconvergence and tracking capabilities are known to be suboptimal. Previous studies have particularly focused on abrupt echo path changes and have proposed different methods to optimize the filter's reconvergence.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
- Mathematik (insg.)
- Modellierung und Simulation
- Physik und Astronomie (insg.)
- Akustik und Ultraschall
Zitieren
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- BibTex
- RIS
AES Europe Spring 2022 - 152nd Audio Engineering Society Convention 2022. Audio Engineering Society, 2022. S. 86-92 (AES Europe Spring 2022 - 152nd Audio Engineering Society Convention 2022).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Velocity-Controlled Parameter Switching for Echo Cancellation in Immersive Telepresence with Continuously Changing Microphone Positions
AU - Nophut, Marcel
AU - Preihs, Stephan
AU - Peissig, Jürgen
PY - 2022
Y1 - 2022
N2 - The frequency-domain adaptive Kalman filter (FDAKF) is a popular choice for multichannel acoustic echo cancellation (AEC) due to its good initial convergence and robustness to double-talk. However, without additional measures its reconvergence and tracking capabilities are known to be suboptimal. Previous studies have particularly focused on abrupt echo path changes and have proposed different methods to optimize the filter's reconvergence.
AB - The frequency-domain adaptive Kalman filter (FDAKF) is a popular choice for multichannel acoustic echo cancellation (AEC) due to its good initial convergence and robustness to double-talk. However, without additional measures its reconvergence and tracking capabilities are known to be suboptimal. Previous studies have particularly focused on abrupt echo path changes and have proposed different methods to optimize the filter's reconvergence.
UR - http://www.scopus.com/inward/record.url?scp=85136326003&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85136326003
T3 - AES Europe Spring 2022 - 152nd Audio Engineering Society Convention 2022
SP - 86
EP - 92
BT - AES Europe Spring 2022 - 152nd Audio Engineering Society Convention 2022
PB - Audio Engineering Society
T2 - AES Europe Spring 2022 - 152nd Audio Engineering Society Convention 2022
Y2 - 16 May 2022 through 19 May 2022
ER -